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README.md CHANGED
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  ---
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  license: apache-2.0
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - AIDC-ai-business/Marcoroni-7B-v3
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+ - EmbeddedLLM/Mistral-7B-Merge-14-v0.1
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  ---
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+
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+ # Marcoro14-7B-slerp
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+
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+ Marcoro14-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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+ * [AIDC-ai-business/Marcoroni-7B-v3](https://huggingface.co/AIDC-ai-business/Marcoroni-7B-v3)
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+ * [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.1)
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+
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+ ## 🧩 Configuration
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+
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+ \```yaml
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+ slices:
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+ - sources:
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+ - model: AIDC-ai-business/Marcoroni-7B-v3
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+ layer_range: [0, 32]
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+ - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: AIDC-ai-business/Marcoroni-7B-v3
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: bfloat16
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+ \```
config.json ADDED
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+ {
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+ "_name_or_path": "psmathur/orca_mini_v3_13b",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 5120,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 13824,
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 40,
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+ "num_key_value_heads": 40,
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+ "pad_token_id": 0,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
config.yaml ADDED
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+
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+ slices:
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+ - sources:
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+ - model: AIDC-ai-business/Marcoroni-7B-v3
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+ layer_range: [0, 32]
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+ - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: AIDC-ai-business/Marcoroni-7B-v3
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: bfloat16
mergekit_config.yml ADDED
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+ slices:
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+ - sources:
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+ - model: psmathur/orca_mini_v3_13b
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+ layer_range: [0, 40]
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+ - model: garage-bAInd/Platypus2-13B
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+ layer_range: [0, 40]
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+ # or, the equivalent models: syntax:
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+ # models:
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+ # - model: psmathur/orca_mini_v3_13b
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+ # - model: garage-bAInd/Platypus2-13B
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+ merge_method: slerp
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+ base_model: psmathur/orca_mini_v3_13b
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5 # fallback for rest of tensors
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+ dtype: float16
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